Advances in Computational Techniques for Biomedical Image Analysis:
Methods and Applications focuses on post-acquisition challenges
such as image enhancement, detection of edges and objects, analysis
of shape, quantification of texture and sharpness, and pattern
analysis. It discusses the archiving and transfer of images,
presents a selection of techniques for the enhancement of contrast
and edges, for noise reduction and for edge-preserving smoothing.
It examines various feature detection and segmentation techniques,
together with methods for computing a registration or normalization
transformation. Advances in Computational Techniques for Biomedical
Image Analysis: Method and Applications is ideal for researchers
and post graduate students developing systems and tools for
health-care systems.
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